“龙象之争”与“龙象共舞” ————基于出口技术结构的中印贸易关系分析

 基于按SITC REV.2 3位数分类的中印两国的出口产品数据,本文分析两国出口贸易结构的变化,计算两国贸易竞争力、贸易互补性、相似性指数以及出口贸易的技术复杂度,探讨了两国之间的贸易关系。中印两国的出口贸易结构都在不断优化,技术水平在不断上升,但中国出口贸易技术结构改善程度远高于印度。中印在出口贸易结构、贸易品的技术层次方面存在差异,两国之间并不构成完全的贸易竞争,而是存在明显上升的互补性趋势。因此中印之间建立自由贸易区,有利于扩大双方的贸易和投资规模,发挥优势互补,促进产业结构调整和技术水平提升,达到“双赢”的局面。     

Clustering the Constitutive Elements of Measuring Tables Data Structure

This article deals with the clustering of the elements of a structure of juxtaposition of data measuring tables. One of the main issues in such problems is the selection of a one-dimensional quantity to represent the information included in the repeated observations of each variable. We propose the use of three different indices to measure the distance between elements of a structure and use the last one based on the Hilbert–Schmidt inner product for clustering purposes through an algorithmic procedure. The proposed algorithm is applied for clustering the customers of an electric company where each customer is described by a curve of load.     

Comparisons of allocating sample size rationally into individual regions under heterogeneous effect size in a multiregional trial by a fixed effect model and a random effect model

ABSTRACT

Recently, sponsors and regulatory authorities pay much attention on the multiregional trial because it can shorten the drug lag or the time lag for approval, simultaneous drug development, submission, and approval in the world. However, many studies have shown that genetic determinants may mediate variability among persons in response to a drug. Thus, some therapeutics benefit part of treated patients. It means that the assumption of homogeneous effect size is not suitable for multiregional trials. In this paper, we conduct the sample size determination of a multiregional clinical trial calculated by fixed effect and random effect under the assumption of heterogeneous effect size. The performances of fixed effect and random effect on allocating sample size on a specific region are compared by statistical criteria for consistency between the region of interest and overall results.